rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Similarity Search The Metric Space Approach
  name:
    name part: Zezula, Pavel.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Amato, Giuseppe.
    role:
      role term: author.
  name:
    name part: Dohnal, Vlastislav.
    role:
      role term: author.
  name:
    name part: Batko, Michal.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2006
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVII, 220 p. online resource.
  abstract: In the Information Society, information holds the master key to economic influence. Similarity Search: The Metric Space Approach will focus on efficient ways to locate user-relevant information in collections of objects, the similarity of which is quantified using a pairwise distance measure. This book is a direct response to recent advances in computing, communications and storage which have led to the current flood of digital libraries, data warehouses and the limitless heterogeneity of internet resources. Similarity Search: The Metric Space Approach will introduce state-of-the-art in developing index structures for searching complex data modeled as instances of a metric space. This book consists of two parts. Part 1 presents the metric search approach in a nutshell by defining the problem, describes major theoretical principals, and provides an extensive survey of specific techniques for a large range of applications. Part 2 concentrates on approaches particularly designed for searching in very large collections of data. Similarity Search: The Metric Space Approach is designed for a professional audience, composed of academic researchers as well as practitioners in industry. This book is also suitable as introductory material for graduate-level students in computer science.
  table of contents: Metric Searching in a Nutshell -- Foundations of Metric Space Searching -- Survey of Existing Approaches -- Metric Searching in Large Collections of Data -- Centralized Index Structures -- Approximate Similarity Search -- Parallel and Distributed Indexes.
  note: by Pavel Zezula, Giuseppe Amato, Vlastislav Dohnal, Michal Batko.
  subject:
    topic: Computer science
  subject:
    topic: Data structures (Computer science)
  subject:
    topic: File organization (Computer science)
  subject:
    topic: Database management
  subject:
    topic: Information storage and retrieval
  subject:
    topic: Computer Science
  subject:
    topic: Database Management
  subject:
    topic: Data Storage Representation
  subject:
    topic: Data Structures
  subject:
    topic: Information Storage and Retrieval
  subject:
    topic: Files
  classification: QA76.9.D3
  classification: 005.74
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Advances in Database Systems, 32
  identifier: 9780387291512
  identifier: http://dx.doi.org/10.1007/0-387-29151-2
  record info:
    record creation date: 100301
    record change date: 20151204190720.0
    record identifier: 978-0-387-29151-2